TY - GEN
T1 - Impact Analysis of Realistic Human Mobility over Wireless Network
AU - Guan, Jianfeng
AU - Zhang, Wancheng
N1 - Publisher Copyright:
© 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2020
Y1 - 2020
N2 - Mobility management is crucial for mobile Internet services. Mobile IPv6 and many subsequent variants aim to provide network layer mobility support for mobile nodes or mobile networks, whose performance is highly dependent on user mobility model, network topology and traffic model. Several previous researches have evaluated their performance by simulations, analytical models, and experiments. However, most of them adopt classic mobility models such as RWP without considering more realistic human mobility characteristics since most of mobile devices are carried by human being. Therefore, the performance evaluation of these solutions under realistic human mobility models becomes an important issue. In this paper we investigate human mobility characteristics and evaluates their impacts on existing mobility management protocols based on a unified simulation platform which abstracts movement parameters from realistic traces and uses them to tune other mobility models. The final results show: (1) The mobility model has an important impact on performance evaluation, and the delivery costs of RD and RWP models are different from the realistic trace which may mislead the protocols design; (2) The current mobility management protocols little consider the human mobility characteristics which cannot benefit the positive of human mobility characteristics, and they should consider the impacts of human mobility and absorb human mobility characteristics in future.
AB - Mobility management is crucial for mobile Internet services. Mobile IPv6 and many subsequent variants aim to provide network layer mobility support for mobile nodes or mobile networks, whose performance is highly dependent on user mobility model, network topology and traffic model. Several previous researches have evaluated their performance by simulations, analytical models, and experiments. However, most of them adopt classic mobility models such as RWP without considering more realistic human mobility characteristics since most of mobile devices are carried by human being. Therefore, the performance evaluation of these solutions under realistic human mobility models becomes an important issue. In this paper we investigate human mobility characteristics and evaluates their impacts on existing mobility management protocols based on a unified simulation platform which abstracts movement parameters from realistic traces and uses them to tune other mobility models. The final results show: (1) The mobility model has an important impact on performance evaluation, and the delivery costs of RD and RWP models are different from the realistic trace which may mislead the protocols design; (2) The current mobility management protocols little consider the human mobility characteristics which cannot benefit the positive of human mobility characteristics, and they should consider the impacts of human mobility and absorb human mobility characteristics in future.
KW - Human mobility
KW - Mobility management
KW - Mobility models
UR - http://www.scopus.com/inward/record.url?scp=85084007140&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-44751-9_28
DO - 10.1007/978-3-030-44751-9_28
M3 - Conference contribution
AN - SCOPUS:85084007140
SN - 9783030447502
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 326
EP - 340
BT - IoT as a Service - 5th EAI International Conference, IoTaaS 2019, Proceedings
A2 - Li, Bo
A2 - Yang, Mao
A2 - Yan, Zhongjiang
A2 - Zheng, Jie
A2 - Fang, Yong
PB - Springer
T2 - 5th EAI International Conference on IoT as a Service, IoTaaS 2019
Y2 - 16 November 2019 through 17 November 2019
ER -